Corrigendum to “Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network” [Compos. Struct. 296 (2022) 115835] (Composite Structures (2022) 296, (S0263822322006055), (10.1016/j.compstruct.2022.115835))

Kun Zhang; Lian hua Ma; Zi zhen Song; Hong Gao; Wei Zhou; Jia Liu; Ran Tao

doi:10.1016/j.compstruct.2022.116257

Corrigendum to “Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network” [Compos. Struct. 296 (2022) 115835] (Composite Structures (2022) 296, (S0263822322006055), (10.1016/j.compstruct.2022.115835))

Kun Zhang
, Lian hua Ma^*
, Zi zhen Song
, Hong Gao
, Wei Zhou
, Jia Liu
, Ran Tao

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate

Abstract

The authors regret a mismatched citation error regarding Ref. [6] of this paper, which should be another publication. We consider this citation error to be significant as readers may misunderstand the corresponding statements of this paper. The corrected Ref. [6] is as follows: [6] Gupta S, Prusty RK, Ray BC, Pal S. Strength degradation and fractographic analysis of carbon fiber reinforced polymer composite laminates with square/circular hole using scanning electron microscope micrographs. J Appl Polym Sci 2021;138:49878. The authors would like to apologise for any inconvenience caused.

Original language	English
Article number	116257
Journal	Composite Structures
Volume	303
DOIs	https://doi.org/10.1016/j.compstruct.2022.116257
Publication status	Published - 1 Jan 2023
Externally published	Yes

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Zhang, K., Ma, L. H., Song, Z. Z., Gao, H., Zhou, W., Liu, J., & Tao, R. (2023). Corrigendum to “Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network” [Compos. Struct. 296 (2022) 115835] (Composite Structures (2022) 296, (S0263822322006055), (10.1016/j.compstruct.2022.115835)). Composite Structures, 303, Article 116257. https://doi.org/10.1016/j.compstruct.2022.116257

Zhang, Kun ; Ma, Lian hua ; Song, Zi zhen et al. / Corrigendum to “Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network” [Compos. Struct. 296 (2022) 115835] (Composite Structures (2022) 296, (S0263822322006055), (10.1016/j.compstruct.2022.115835)). In: Composite Structures. 2023 ; Vol. 303.

@article{e4a6139059834ae4ae21f250cc05df02,

title = "Corrigendum to “Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network” [Compos. Struct. 296 (2022) 115835] (Composite Structures (2022) 296, (S0263822322006055), (10.1016/j.compstruct.2022.115835))",

abstract = "The authors regret a mismatched citation error regarding Ref. [6] of this paper, which should be another publication. We consider this citation error to be significant as readers may misunderstand the corresponding statements of this paper. The corrected Ref. [6] is as follows: [6] Gupta S, Prusty RK, Ray BC, Pal S. Strength degradation and fractographic analysis of carbon fiber reinforced polymer composite laminates with square/circular hole using scanning electron microscope micrographs. J Appl Polym Sci 2021;138:49878. The authors would like to apologise for any inconvenience caused.",

author = "Kun Zhang and Ma, \{Lian hua\} and Song, \{Zi zhen\} and Hong Gao and Wei Zhou and Jia Liu and Ran Tao",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

year = "2023",

month = jan,

day = "1",

doi = "10.1016/j.compstruct.2022.116257",

language = "English",

volume = "303",

journal = "Composite Structures",

issn = "0263-8223",

publisher = "Elsevier B.V.",

}

Zhang, K, Ma, LH, Song, ZZ, Gao, H, Zhou, W, Liu, J & Tao, R 2023, 'Corrigendum to “Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network” [Compos. Struct. 296 (2022) 115835] (Composite Structures (2022) 296, (S0263822322006055), (10.1016/j.compstruct.2022.115835))', Composite Structures, vol. 303, 116257. https://doi.org/10.1016/j.compstruct.2022.116257

Corrigendum to “Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network” [Compos. Struct. 296 (2022) 115835] (Composite Structures (2022) 296, (S0263822322006055), (10.1016/j.compstruct.2022.115835)). / Zhang, Kun; Ma, Lian hua; Song, Zi zhen et al.
In: Composite Structures, Vol. 303, 116257, 01.01.2023.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Corrigendum to “Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network” [Compos. Struct. 296 (2022) 115835] (Composite Structures (2022) 296, (S0263822322006055), (10.1016/j.compstruct.2022.115835))

AU - Zhang, Kun

AU - Ma, Lian hua

AU - Song, Zi zhen

AU - Gao, Hong

AU - Zhou, Wei

AU - Liu, Jia

AU - Tao, Ran

PY - 2023/1/1

Y1 - 2023/1/1

N2 - The authors regret a mismatched citation error regarding Ref. [6] of this paper, which should be another publication. We consider this citation error to be significant as readers may misunderstand the corresponding statements of this paper. The corrected Ref. [6] is as follows: [6] Gupta S, Prusty RK, Ray BC, Pal S. Strength degradation and fractographic analysis of carbon fiber reinforced polymer composite laminates with square/circular hole using scanning electron microscope micrographs. J Appl Polym Sci 2021;138:49878. The authors would like to apologise for any inconvenience caused.

AB - The authors regret a mismatched citation error regarding Ref. [6] of this paper, which should be another publication. We consider this citation error to be significant as readers may misunderstand the corresponding statements of this paper. The corrected Ref. [6] is as follows: [6] Gupta S, Prusty RK, Ray BC, Pal S. Strength degradation and fractographic analysis of carbon fiber reinforced polymer composite laminates with square/circular hole using scanning electron microscope micrographs. J Appl Polym Sci 2021;138:49878. The authors would like to apologise for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/85139019578

U2 - 10.1016/j.compstruct.2022.116257

DO - 10.1016/j.compstruct.2022.116257

M3 - Comment/debate

AN - SCOPUS:85139019578

SN - 0263-8223

VL - 303

JO - Composite Structures

JF - Composite Structures

M1 - 116257

ER -

Zhang K, Ma LH, Song ZZ, Gao H, Zhou W, Liu J et al. Corrigendum to “Strength prediction and progressive damage analysis of carbon fiber reinforced polymer-laminate with circular holes by an efficient Artificial Neural Network” [Compos. Struct. 296 (2022) 115835] (Composite Structures (2022) 296, (S0263822322006055), (10.1016/j.compstruct.2022.115835)). Composite Structures. 2023 Jan 1;303:116257. doi: 10.1016/j.compstruct.2022.116257

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